Exploring Big Data Clustering Algorithms for Internet of Things Applications

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14610%2F18%3A00102285" target="_blank" >RIV/00216224:14610/18:00102285 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.5220/0006773402690276" target="_blank" >http://dx.doi.org/10.5220/0006773402690276</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5220/0006773402690276" target="_blank" >10.5220/0006773402690276</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Exploring Big Data Clustering Algorithms for Internet of Things Applications

Popis výsledku v původním jazyce

With the rapid development of the Big Data and Internet of Things (IoT), Big Data technologies have emerged as a key data analytics tool in IoT, in which, data clustering algorithms are considered as an essential component for data analysis. However, there has been limited research that addresses the challenges across Big Data and IoT and thus proposing a research agenda is important to clarify the research challenges for clustering Big Data in the context of IoT. By tackling this specific aspect - clustering algorithm in Big Data, this paper examines on Big Data technologies, related data clustering algorithms and possible usages in IoT. Based on our review, this paper identifies a set of research challenges that can be used as a research agenda for the Big Data clustering research. This research agenda aims at identifying and bridging the research gaps between Big Data clustering algorithms and IoT.

Název v anglickém jazyce

Exploring Big Data Clustering Algorithms for Internet of Things Applications

Popis výsledku anglicky

With the rapid development of the Big Data and Internet of Things (IoT), Big Data technologies have emerged as a key data analytics tool in IoT, in which, data clustering algorithms are considered as an essential component for data analysis. However, there has been limited research that addresses the challenges across Big Data and IoT and thus proposing a research agenda is important to clarify the research challenges for clustering Big Data in the context of IoT. By tackling this specific aspect - clustering algorithm in Big Data, this paper examines on Big Data technologies, related data clustering algorithms and possible usages in IoT. Based on our review, this paper identifies a set of research challenges that can be used as a research agenda for the Big Data clustering research. This research agenda aims at identifying and bridging the research gaps between Big Data clustering algorithms and IoT.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10200 - Computer and information sciences

Projekt

<a href="/cs/project/EF16_013%2F0001802" target="_blank" >EF16_013/0001802: CERIT Scientific Cloud</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the 3rd International Conference on Internet of Things, Big Data and Security

ISBN

9789897582967

ISSN

—

e-ISSN

—

Počet stran výsledku

8

Strana od-do

269-276

Název nakladatele

SCITEPRESS

Místo vydání

Madeira, Portugal

Místo konání akce

Madeira, Portugal

Datum konání akce

1. 1. 2018

Typ akce podle státní příslušnosti

CST - Celostátní akce

Kód UT WoS článku

—